58 citations · 87 across the 4 of their papers we have counts for
6 papers
Passive Indoor Localization with WiFi Fingerprints
Minh Tu Hoang, Brosnan Yuen, Kai Ren +5
This paper proposes passive WiFi indoor localization. Instead of using WiFi signals received by mobile devices as fingerprints, we use signals received by routers to locate the mob…
Universal Activation Function For Machine Learning
Brosnan Yuen, Minh Tu Hoang, Xiaodai Dong +1
This article proposes a Universal Activation Function (UAF) that achieves near optimal performance in quantification, classification, and reinforcement learning (RL) problems. For…
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
Minh Tu Hoang, Brosnan Yuen, Kai Ren +5
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization…
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong +3
This paper proposes a semi-sequential probabilistic model (SSP) that applies an additional short term memory to enhance the performance of the probabilistic indoor localization. Th…
A Soft Range Limited K-Nearest Neighbours Algorithm for Indoor Localization Enhancement
Minh Tu Hoang, Yizhou Zhu, Brosnan Yuen +5
This paper proposes a soft range limited K nearest neighbours (SRL-KNN) localization fingerprinting algorithm. The conventional KNN determines the neighbours of a user by calculati…
Recurrent Neural Networks For Accurate RSSI Indoor Localization
Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong +3
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi. Instead of locating user's position one at a time as in the cases of conve…